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setup.py
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setup.py
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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
with open("kts/__version__.py") as fh:
version = fh.readlines()[-1].split()[-1].strip("\"'")
extras = {
'models': ['catboost', 'xgboost', 'lightgbm', 'skorch'],
'hpo': ['ray[tune]'],
}
all_deps = []
for group_name in extras:
all_deps += extras[group_name]
extras['all'] = all_deps
setuptools.setup(
name="kts",
version=version,
author="Nikita Konodyuk",
author_email="[email protected]",
description="A framework for fast and interactive conducting machine learning experiments on tabular data",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/konodyuk/kts",
packages=setuptools.find_packages(),
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
"License :: OSI Approved :: MIT License",
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
"Operating System :: MacOS",
"Operating System :: POSIX :: Linux",
],
keywords=[
"Machine Learning",
"Parallel Computing",
"Feature Engineering",
],
extras_require=extras,
install_requires=[
"ray>=0.8.1",
"pandas",
"numpy",
"scikit-learn",
"matplotlib",
"cloudpickle",
"dill",
"feather-format",
"click",
"xxhash",
"pygments",
"ipython",
"psutil",
"toml",
"category_encoders",
"docstring_parser"
],
entry_points={
"console_scripts": ['kts=kts.cli.scripts:cli']
},
include_package_data=True
)